Probabilistic modelling of electronic health records

Publications

Conference proceedings (9)

Context Selection for Embedding Models

Author(s): Liping Liu; Francisco J. R. Ruiz; Susan Athey; David M. Blei
Published in: Advances in Neural Information Processing Systems, 2017
Publisher: NIPS Proceedings

Scalable Large-Scale Classification with Latent Variable Augmentation

Author(s): Francisco J. R. Ruiz; Michalis K. Titsias; David M. Blei
Published in: NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
Publisher: AABI Workshop Proceedings

Augment and Reduce: Stochastic Inference for Large Categorical Distributions

Author(s): Ruiz, Francisco J. R.; Titsias, Michalis K.; Dieng, Adji B.; Blei, David M.
Published in: International Conference on Machine Learning, 2018
Publisher: ICML Proceedings

Structured Embedding Models for Grouped Data

Author(s): Rudolph, Maja; Ruiz, Francisco; Athey, Susan; Blei, David
Published in: Advances in Neural Information Processing Systems, 2017
Publisher: NIPS Proceedings

Exponential Family Embeddings

Author(s): Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei
Published in: Advances in Neural Information Processing Systems, 2016
Publisher: NIPS Proceedings

The Generalized Reparameterization Gradient

Author(s): Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei
Published in: Advances in Neural Information Processing Systems, 2016
Publisher: NIPS Proceedings

Unbiased Implicit Variational Inference

Author(s): Michalis K. Titsias, Francisco J. R. Ruiz
Published in: International Conference on Artificial Intelligence and Statistics, 2019
Publisher: Proceedings of Machine Learning Research

A Contrastive Divergence for Combining Variational Inference and MCMC

Author(s): Francisco J. R. Ruiz, Michalis K. Titsias
Published in: 2019
Publisher: International Conference on Machine Learning

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

Author(s): Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, and David M. Blei
Published in: International Conference on Artificial Intelligence and Statistics, 54, 2017, Page(s) 489-498
Publisher: Proceedings of Machine Learning Research (PMLR)

Peer reviewed articles (4)

Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data

Author(s): Susan Athey, David Blei, Robert Donnelly, Francisco Ruiz, Tobias Schmidt
Published in: AEA Papers and Proceedings, 108, 2018, Page(s) 64-67, ISSN 0000-0000
Publisher: NA
DOI: 10.1257/pandp.20181031

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

Author(s): Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Perez-Cruz
Published in: IEEE Transactions on Cognitive Communications and Networking, 4/2, 2018, Page(s) 177-191, ISSN 2332-7731
Publisher: IEEE
DOI: 10.1109/TCCN.2018.2790976

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling

Author(s): Maryam Fatemi, Karl Granstrom, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
Published in: IEEE Transactions on Signal Processing, 65/11, 2017, Page(s) 2814-2827, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2017.2675866

De novo gene signature identification from single‐cell RNA‐seq with hierarchical Poisson factorization

Author(s): Hanna Mendes Levitin, Jinzhou Yuan, Yim Ling Cheng, Francisco JR Ruiz, Erin C Bush, Jeffrey N Bruce, Peter Canoll, Antonio Iavarone, Anna Lasorella, David M Blei, Peter A Sims
Published in: Molecular Systems Biology, 15/2, 2019, Page(s) e8557, ISSN 1744-4292
Publisher: Nature Publishing Group
DOI: 10.15252/msb.20188557

Other (1)

SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements

Author(s): Francisco J. R. Ruiz, Susan Athey, David M. Blei
Published in: Annals of Applied Statistics, 2019
Publisher: Annals of Applied Statistics